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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Elasticsearch APIs


There are many APIs available for managing Elasticsearch. These APIs help us to manage cluster, indices, search, and so on. In this section, we will look at each of these APIs in detail.

We can use these APIs through Command Prompt, Console in Kibana, or any tool that can make calls to RESTful APIs.

Note

By default, Elasticsearch runs on port 9200 to listen to HTTP requests. Kibana uses the same port to connect to Elasticsearch. To learn more about Console, refer to Chapter 4, Kibana Interface, Exploring Dev tools section.

Sense is a powerful plugin for Kibana that allows us to make calls to Elasticsearch APIs using a web interface. We will be learning about Sense in Chapter 8, Elasticsearch APIs. For this chapter, we will be using cURL, a Command Prompt utility that allows us to access HTTP requests to access the APIs.

A typical cURL request against ES contains a verb, URL, and message body:

$ curl -X{Verb} 'url' -d '{message-body}'

Verbs are GET, PUT, POST, DELETE, and HEAD...

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